{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "COLORS = ['g', 'r', 'b', 'c', 'y', 'm', 'k']\n",
    "\n",
    "# 中文字体\n",
    "plt.rcParams['font.sans-serif'] = 'SimHei'\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 支持数学latex\n",
    "plt.rcParams['text.usetex'] = True\n",
    "plt.rcParams['text.latex.preamble'] = [r'\\usepackage{amsmath}']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# figure and axes\n",
    "\n",
    "plt.gcf(): Get Current Figure, 获取当前图表对象\n",
    "\n",
    "plt.gca(): Get Current Axes, 获取当前子图\n",
    "\n",
    "plt.plot()实际上会通过plt.gca()获得当前的Axes对象ax,然后再调用ax.plot()方法实现真正的绘图."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fig1 size: Figure(216x216) vs fig2 size: Figure(432x216)\n",
      "fig1 address: 140176778027248 vs fig2 address: 140176778027360\n",
      "current fig: 140176778027248 plt.gcf: 140176778027248 plt.gca: 140176778029768\n",
      "current fig: 140176778027360 plt.gcf: 140176778027360 plt.gca: 140176777406168\n",
      "ax1 address: 140176777641768, ax2 address: 140176777319368, cur ax:140176777319368\n",
      "switch 1 cur ax:140176777641768\n",
      "switch 2 cur ax:140176777319368\n",
      "140176778027248 140176778027248 140176778029768\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAM0AAADDCAYAAAAhtpUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAACVBJREFUeJzt3b9OG10exvHnrNNguWBDQkGzCKRcgPHegXMHJOlBgsqFm7zXkDQU6VhBH23uYLN3ALmASCC9DcWbN7wUlt1gnS3O8TKGsT0/ZjyemO9HQvacM4xPRnnmH575Oe+9AGT3t0UPAPjVEBrAiNAARoQGMCI0gBGhAYwIDWBEaAAjQgMYPSvzw168eOE3NzfL/Eggk/Pz8z+99y+zzFtqaDY3N3V2dlbmRwKZOOd+zzovh2eAEaEBjDKHxjn3fkL7rnOuPakfWDaZQuOca0v6Z0p7U5K8918l3Yymgcro9aTv38NrQfIenr2TdBPfX0pq51weUIzbW6nTkdbXpZ2d8NrphPacZobGOdeMe5I0q5KuE9NruUcEFKHblU5PpcEg7GUGgzDd7eZedJY9zfPcnwKUqdeTTk6kfn+8vd8P7TkP1aaGZsZeRgqHZqNQrUr6mbKMA+fcmXPu7MePH48fKZDV1ZVUq6X31WqhP4dZe5qteHVsN75vSpJzbjX2f5a0NZpX0oOAee+Pvfct733r5ctMf3AF8tnYkIbD9L7hMPTnMDU03vsv3vsvCnuT1UTXf2P/N+n/V9duRtPAQjUa0v6+VK+Pt9frob3RyLX4TF+j8d4fSzpOTO/c6wOq5egovJ6chEOy4VDa27trz8GV+QinVqvl+e4ZStXrhXOYjY2pexjn3Ln3vpVlkaV+YRMoXaMhvXpV6CL57hlgRGgAI0IDGBEawIjQAEaEBjAiNIARoQGMCA1gRGgAI0IDGBEawIjQAEaEBjAiNIARoQGMCA1gRGgAI0IDGBEawIjQAEaEBjAiNIARoQGMCA1gRGgAoyyV0Nrx58OE/g/x9aDowQFVNLOok6TXsbBTc0Ih2gPn3IVCzU1g6U19AHqsNzOqObM1of7MmxnV0oClkqlqgHPuvaTDCd1N55wkNb33H4saGFBVmS4ExDAcJsoGjvXFPc1arIg2hpqbWDYzz2kS5zGXkg7u9Y/qcUqhSO2W7qHmJpbNrD1NW+PVmy+lsUK1l7orTrstiTJnWHqzQnOsWOFZCoVrY3uyUO3b2H9BoVo8BbOunt3orkDtl0Q7hWrxZPGNAMCI0ABGhAYwIjSAEaEBjAgNYERoACNCAxgRGsCI0ABGhAYwIjSAEaEBjAgNYERoACNCAxgRGsCI0ABGhAYwIjSAEaEBjAgNYERoACNCAxgRGsCI0ABGhAYwIjS/ql5P+v49vKJURRSq3Y3974sfHh64vZU6HWl9XdrZCa+dTmhHKXIVqh1Nx/6bCYVsUaRuVzo9lQaDsJcZDMJ0t7vokT0ZU0Pjvf/mvf8tTqYVqn0n6Sa+v1QoAoV56fWkkxOp3x9v7/dDO4dqpch0TjOlUO2qpOvE9FrK71JzsyhXV1Ktlt5Xq4V+zF3uQrUZfpeam0XZ2JCGw/S+4TD0Y+5yFapVODRL1uT8WezwMKbRkPb3pXp9vL1eD+2NxmLG9cTkLVT7WXcVnbd0V7QW83J0JO3tSSsrISQrK2H66GjRI3syiihUK+dcW9INhWpL8OyZ9OmT9Mcf0vl5eP30KbSjFM57X9qHtVotf3ZG1XRUj3Pu3HvfyjIv3wgAjAgNYERoACNCAxgRGsCI0ABGhAYwIjSAEaEBjAgNYERoACNCAxgRGsCI0ABGhAYwIjSAEaEBjAgNYERoACNCAxgRGsCI0ABGhAYwIjSAEaEBjAgNYERoAKMsNTcP4s+kmpsfRvMVPTigimbVp2lL+uq9H1UPSCsPeOCcu1AswwEsu1l7mi3d1dG81F0tmqQ33vvtWKwWWHpTi5rEPcxIU6GI031N55wkNWOZQWCpZS1U25T0n7SiTd77j3Evs5Z2+EahWiybrFfP2ml7Eefc7qhKmkK9zQeHbxSqxbLJdPVsFJjRniRRc/NSd3U2tyVR5gxLL8vVsw/OuQvn3F+JrmTNzbdxb3NBzU08BbMuBHyV9PeU9p3E++P7/cAy4xsBgBGhAYwIDWBEaAAjQgMYERrAiNAARoQGMCI0gBGhAYwIDWBEaAAjQgMYERrAiNAARoQGMCI0gBGhAYwIDWBEaAAjQgMYERrAiNAARoQGMCI0gBGhAYwIDWA09VnO0lgtzW3v/W8p/buSblREUadeT7q6kjY2pEYj16KAeclVczMWexo9KP1mNG12eyt1OtL6urSzE147ndAOVEzempvvFPYyo/60QrazdbvS6ak0GIS9zWAQprvdRy0OmKepoYlVzEalNJp6WLRpVdJ1YnrNPIJeTzo5kfr98fZ+P7T3euZFAvOUu+Zmht+dXnPz6kqq1dJ/uVYL/UCF5Kq5qXBo9jy+X1WouzlmZs3NjQ1pOEz/1OEw9AMVkrfm5mfdneds6a7+ZnaNhrS/L9Xr4+31emjnKhoqpoiam6P5bh5dc/PoSNrbk1ZWQkhWVsL00dGjFgfMk/Pel/ZhrVbLn51NKQDN32mwIM65c+99K8u8M/+4WapGQ3r1atGjAKbiazSAEaEBjAgNYFTqhQDn3A9Jv8+Y7YWkP0sYjkUVxyRVc1y/6pj+4b1P+UPiQ6WGJgvn3FnWqxhlqeKYpGqO6ymMicMzwIjQAEZVDM3x7FlKV8UxSdUc19KPqXLnNEDVLXxPM+1uT+fcrnOu7Zx7X6ExfYivB5PmwXJbaGjiFz3/NaGvmFupCxxTdOCcu1C4U7UU8Z6kg1FgU/oXtXGZNa7SNzBxPbTnua4WGpoYiOsJ3cXcSl3smCTpjfd+O843d6U9p6HgcUWlbmDiv/11XBfN++uiqHW18MOzKfLfSj0fzZK36uU8p6H4cUklb2C8998ST0zaSrlVpZB1Va1vOf8CEjfkvXbOtef9HyLxjAYpPKfh871ZFrJxyTAuKWxgpCIe72UQN2iHKV2FrKsq72lm3kpdtng8vBsnfyp96zqvz370cxrmadq4vPcf40ZlbcLh21zEgB4m7jAuVOVCU+it1AVJjOkyMY5tPXw6zzw9+jkNc5Y6rkVsYJxzyfOYS0n3L0AUsq4WffVsV1IrsXKlom+lLn5Mb2PfRYljmu9zGuYzrkVsYNoaD8XlvTEVsq7442bFxf+M/1Y4Fn+ucHL9Nd6euxPnOVA8Gb93rlGFcV3Hcc39nCaG4238zNfe+8PYXui6IjSAUeXOaYCqIzSAEaEBjAgNYERoACNCAxj9D//nbl9CvuBkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 216x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建figure, num指定figureID\n",
    "# TODO: 重新执行整个cell, 或者在其他cell再次之赐你个plt.figure会重新分配, 原因不知\n",
    "fig1 = plt.figure(num=1, figsize=(3,3))\n",
    "fig2 = plt.figure(2, figsize=(6,3))\n",
    "print(\"fig1 size: {} vs fig2 size: {}\".format(fig1, fig2))\n",
    "print(\"fig1 address: {} vs fig2 address: {}\".format(id(fig1), id(fig2)))\n",
    "\n",
    "# 如果存在直接返回, 地址不变\n",
    "usefig = plt.figure(1)\n",
    "print(\"current fig: {} plt.gcf: {} plt.gca: {}\".format(\n",
    "        id(usefig),\n",
    "        id(plt.gcf()),\n",
    "        id(plt.gca())))\n",
    "plt.scatter([1,2,3],[2,3,4], c='r', s=40)\n",
    "\n",
    "usefig = plt.figure(2)\n",
    "print(\"current fig: {} plt.gcf: {} plt.gca: {}\".format(\n",
    "        id(usefig),\n",
    "        id(plt.gcf()),\n",
    "        id(plt.gca())))\n",
    "# 因为下面的代码在该fig上创建了2个子图, 默认的被覆盖, 所以显示不出来\n",
    "plt.scatter([1,2,3],[2,3,4], c='b', s=40)\n",
    "\n",
    "# 切换到fig2画布对象上, 并创建坐标\n",
    "ax1 = plt.subplot(121)\n",
    "ax2 = plt.subplot(122)\n",
    "# plt.gca 获取到是最后一次创建的ax, 即ax2\n",
    "print(\"ax1 address: {}, ax2 address: {}, cur ax:{}\".format(\n",
    "        id(ax1),\n",
    "        id(ax2),\n",
    "        id(plt.gca())))\n",
    "\n",
    "# 切换到ax1子图\n",
    "useax = plt.sca(ax1)\n",
    "print(\"switch 1 cur ax:{}\".format(id(plt.gca())))\n",
    "plt.scatter([2], [2], c='g', s=80)\n",
    "\n",
    "# 切换到ax2子图\n",
    "useax = plt.sca(ax2)\n",
    "print(\"switch 2 cur ax:{}\".format(id(plt.gca())))\n",
    "plt.scatter([2], [2], c='c', s=80)\n",
    "\n",
    "# 与下面的cell中的相同两行代码对比\n",
    "fig = plt.figure(fig1.number)\n",
    "print(id(fig), id(plt.gcf()), id(plt.gca()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "140175974244760 140175974244760 140175974244816\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO: 在新的cell中执行, 会返回新的figure, 原因不明\n",
    "fig = plt.figure(fig1.number)\n",
    "print(id(fig), id(plt.gcf()), id(plt.gca()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 清除"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## plt.cla()\n",
    "\n",
    "清除axes，即当前 figure 中的活动的axes, 但其他axes保持不变."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ax1's figure: 140176778027360, ax2's figure: 140176778027360\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(ax1, ax2) = fig2.get_axes()\n",
    "print(\"ax1's figure: {}, ax2's figure: {}\".format(\n",
    "        id(ax1.get_figure()),\n",
    "        id(ax2.get_figure())))\n",
    "\n",
    "# 设置当前的ax, 出错 \n",
    "# plt.sca(ax2) # ValueError: Axes instance argument was not found in a figure\n",
    "\n",
    "# 这里不能调用plt.cla(), plt.gca返回的不是ax1也不是ax2.\n",
    "ax1.clear() # 清除fig2中ax1的子图, ax2不受影响\n",
    "fig2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## plt.clf()\n",
    "\n",
    "清除当前 figure 的所有axes, 但是不关闭这个 window, 所以能继续复用于其他的 plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fig1: 140176778027248, current fig: 140175973797960\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 216x216 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"fig1: {}, current fig: {}\".format(\n",
    "    id(fig1), id(plt.gcf())))\n",
    "fig1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 216x216 with 0 Axes>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig1.clear()\n",
    "fig1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## plt.close()\n",
    "\n",
    "关闭 window，如果没有指定，则指当前 window, 也可以传'all', 关闭所有."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1]\n",
      "[]\n"
     ]
    }
   ],
   "source": [
    "afig = plt.figure()\n",
    "print(plt.get_fignums())\n",
    "# 由于调用了close, 并不能显示出来\n",
    "plt.scatter([1,2,3], [2,3,4], c='k', s=40)\n",
    "plt.close(afig)\n",
    "print(plt.get_fignums())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 坐标轴设置"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 坐标刻度网格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 576x144 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPAAAACZCAYAAAARrrcAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAABuZJREFUeJzt3TFyE0kUxvHvURsQas06JZAD54LNqVr7BjbcQHsDOIO5wcIJKHwDTJUPwBJtAlV21ebgVUCyCW8D9aCx1p5pa6SRXuv/SywxXbgb+2Ome1rzzN0FIKZ76+4AgMURYCAwAgwERoCBwAgwENhPbQ3MbJxe7rn7ixuOH0maSBq5+8sl9w9Ag8YzsJkdSDpz91eShul9/fhIktz9TNKkeg+gH22X0ENJVWgv0/u6Z5qefavjBwLQm8ZL6HTmrYwkvZlrMpB0VXv/YEn9ApChdQ4s/bhUfufuH+/6DdIceixJ9+/ff/Tw4cO7/hUb6fv377p3L/4aYCnjkMoay+fPn7+4+25bu6wASzq4ZYFqImknvR5I+jrfIJ3FX0nS/v6+f/r0KfNbbrbz83M9efJk3d3orJRxSGWNxcz+zmnX+t+VmY2r8FaLWGY2SIffaDYvHko6u3tXASwqZxX6xMwuzOyf2qH3klRdUqd2k0UusQEsrm0R60zSzzf8+aPa61fzxwH0o4wZP7ClCDAQGAEGAiPAQGAEGAiMAAOBEWAgMAIMBEaAgcAIMBAYAQYCI8BAYAQYCIwAA4ERYCAwAgwERoCBwLIC3PTAdjM7SV/Ht7UBsBo5D7U7kPS6ocnYzC40fbA7gB61PlbW3c/M7KqhyXF6dhaAnuU+F7rJyMwkipsBveu8iOXuL9MZ+MF88TMAq9XpDJxKi8rdTzWtyjBf/OxaaZXd3V2dn593+ZYb49u3b0WMpZRxSGWNJddCATazgbtPNF24qhav9iT9Md92vrRKKaUvSinjUco4pLLGkitnFfpI0uPqbJvUKzM8TccuqMwA9CtnFfpU0uncn1GZAdgA7MQCAiPAQGAEGAiMAAOBEWAgMAIMBEaAgcAIMBAYAQYCI8BAYAQYCIwAA4ERYCAwAgwERoCBwAgwEBgBBgIjwEBgBBgIbBm1kY7M7MDMni+vWwBydKqNVAU7Pdh90hR0AMvXGuAUzttqIz2TNEmvLyVRmQHoUdc58EDXw/2g498H4A6WUdysEaVVNlsp45DKGkuurgGeSNpJrwea1ke6htIqm62UcUhljSXXQpfQZjZIL99oVtBsKIk6wUCPllEbqVqpnlAbCegXtZGAwNiJBQRGgIHACDAQGAEGAiPAQGAEGAiMAAOBEWAgMAIMBEaAgcAIMBAYAQYCI8BAYAQYCIwAA4ERYCAwAgwERoCBwAgwEFjWQ+2aah+Z2Un6Ol525wA0awxwZu2jsZldaFpaBUCP2s7AObWPjt19L4UcQI/aHiubU/toZGaSNHL3l8vqGIB2nWsjVaE1s0MzO5g/E1MbabOVMg6prLHkagtwY+2jqlpDevj7V83KrPxAbaTNVso4pLLGkqttDnxj7aNabaRLzeoh7Un6sOwOArhdY4Abah/VayM9TWfiC2ojAf3KqY30v9pH1EYCNgM7sYDACDAQGAEGAiPAQGAEGAiMAAOBEWAgMAIMBEaAgcAIMBAYAQYCI8BAYAQYCIwAA4ERYCAwAgwERoCBwAgwEFjrI3XS864muuW5z23HAaxOp9IqmaVXAKxI19IqOaVXAKxIW4DbSqvklF4BsCKdS6u0qZdWkfSvmf216u/Zk18kfVl3J5aglHFIZY1lP6dRp9IqGcevlVYxsw/u/jinY5uulLGUMg6pvLHktOtaWuXG4wD6sYzSKjcdB9CDvkurlFSGpZSxlDIOaQvHYu6+6o4Ux8xGXG1glczsec7GqJWvQqfOFLNbK00XTiQ9amu76dIdAknac/cXa+1MR+nnIkmHhYzl15y2K98LXdpurTSOq9aGGy79kpylKdCwFoBw0u/UYfrZjKL/jt1FHx9mYLfWZhpq9rO41OxuQjju/rF21h1Gnt6k6Vn23Zw+LqHZrbWB5hYfR5reEgzNzJ5L+n3d/ehop73JDB8n3HLpcvNd5LNWJa2v/F7bpxDKXc++Uj8Bbt2thbU6KGBhsT7vvdRs6240QzM7Sou+w5y5fB8BLmq3VvrHfZy+hmZm4yq8kRexNJ3L108Sl2vsy8Lc/dTdTzUdS9ZVRC/3gdPtiktNFxhKutkeVgrsW03XJ3YkHd/18m1TpEvmp5qO5dDdo8+Ds7GRAwiMRSwgMAIMBEaAgcAI8BYys7GZva29H5nZu3X2CYshwFso3QkY1G4dvVb8HUxbiVXoLZVuvbxX2kIZfTPHtiLAWyzdn3/h7nvr7gsWwyX0djvU9COeYT+JtO0I8JZK898rScea7shCQFxCbykz+1PSb+4+SR/DYx4cEAHeQmZ2Iumivi89BfrY3UN+EGBbEWAgMObAQGAEGAiMAAOBEWAgMAIMBEaAgcAIMBDYf7KHjxXNY2ZfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x144 with 1 Axes>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax1 = fig.add_subplot(121)\n",
    "\n",
    "# set x/y scale range\n",
    "ax1.set_xlim([0,4])\n",
    "ax1.set_ylim([0,2])\n",
    "\n",
    "ax1.set_xlabel('X')\n",
    "\n",
    "# grid\n",
    "ax1.grid(True)\n",
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x144 with 2 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax2 = fig.add_subplot(122)\n",
    "\n",
    "ax2.plot(np.random.randn(1000).cumsum(), label='line0')\n",
    "\n",
    "# set axis scale and scale label\n",
    "ax2.set_xticks(range(0,1000,100))\n",
    "ax2.set_xticklabels(list('abcdefghij')); # 后面的分号, 可以抑制一些特殊的输出打印\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 关闭坐标轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f7d43119e80>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 72x72 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(1, 1))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.set_title('axis off')\n",
    "ax.axis('off')\n",
    "ax.plot([1,2,3,4,5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 刻度显示开关"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get current axis\n",
    "ax = plt.gca()\n",
    "# y axis visible\n",
    "# ax.axes.get_yaxis().set_visible(False)\n",
    "# x axis visible\n",
    "ax.axes.get_xaxis().set_visible(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 脊骨位置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x144 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# hide the spines (轴,脊骨)\n",
    "fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(10, 2))\n",
    "# clear the ticks on axis of x,y \n",
    "axes[0].set_xticks([])\n",
    "axes[0].set_yticks([])\n",
    "\n",
    "# 十字点(0.5, 0.5) x轴放上边, y轴放右边\n",
    "axes[1].xaxis.set_ticks_position('top')\n",
    "axes[1].spines['bottom'].set_position(('data', 0.5))\n",
    "axes[1].yaxis.set_ticks_position('right')\n",
    "axes[1].spines['left'].set_position(('data', 0.5))\n",
    "\n",
    "axes[2].spines['right'].set_color('none')\n",
    "axes[2].spines['top'].set_color('none')\n",
    "axes[2].spines['bottom'].set_position(('data', 0.5))\n",
    "\n",
    "axes[2].set_yticklabels(list('abcdef'))\n",
    "\n",
    "# 不显示坐标(刻度)\n",
    "axes[2].set_xticks([])\n",
    "\n",
    "# set the around size between subplots\n",
    "plt.subplots_adjust(wspace=0.3, hspace=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.set_figheight(10)\n",
    "fig.set_figwidth(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 子图间距\n",
    "\n",
    "设置子图之间的间距 (tight_layout: 自动调整子图参数，使之填充整个图像区域)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### tight_layout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Tight0Y')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(6, 3))\n",
    "axes[0].set_xlabel('Tight0X')\n",
    "axes[0].set_ylabel('Tight0Y')\n",
    "axes[1].set_xlabel('Tight0X')\n",
    "axes[1].set_ylabel('Tight0Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(6, 3))\n",
    "# plt.tight_layout(pad = 3, h_pad=0.5, w_pad=0.5) # 没有效果\n",
    "axes[0].set_xlabel('Tight1X')\n",
    "axes[0].set_ylabel('Tight1Y')\n",
    "axes[1].set_xlabel('Tight1X')\n",
    "axes[1].set_ylabel('Tight1Y')\n",
    "plt.tight_layout(pad = 3, h_pad=0.5, w_pad=0.5) # 最后设置"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### subplots_adjust"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(6, 3))\n",
    "# plt.tight_layout(pad = 3, h_pad=0.5, w_pad=0.5) # 没有效果\n",
    "axes[0].set_xlabel('Tight2X')\n",
    "axes[0].set_ylabel('Tight2Y')\n",
    "axes[1].set_xlabel('Tight2X')\n",
    "axes[1].set_ylabel('Tight2Y')\n",
    "# set the around size between subplots\n",
    "plt.subplots_adjust(wspace=0.5, hspace=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 实例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制注解"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制普通图像\n",
    "xs = np.linspace(-3, 3, 50)\n",
    "ys = 2 * xs + 1\n",
    "\n",
    "plt.plot(xs, ys)\n",
    "\n",
    "# 将上、右边框去掉\n",
    "ax = plt.gca()\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.spines['top'].set_color('none')\n",
    "\n",
    "# 设置x轴的位置及数据在坐标轴上的位置\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "ax.spines['bottom'].set_position(('data', 0))\n",
    "# 设置y轴的位置及数据在坐标轴上的位置\n",
    "ax.yaxis.set_ticks_position('left')\n",
    "ax.spines['left'].set_position(('data', 0))\n",
    "\n",
    "# 定义(x0, y0)点\n",
    "x0 = 1\n",
    "y0 = 2 * x0 + 1\n",
    "\n",
    "# 绘制(x0, y0)点\n",
    "plt.scatter(x0, y0, s = 50, color = 'blue')\n",
    "# 绘制虚线\n",
    "plt.plot([x0, x0], [y0, 0], 'k--', lw = 2.5)\n",
    "# 绘制注解一\n",
    "plt.annotate(r'$2 * x + 1 = %s$' % y0, xy = (x0, y0), xycoords = 'data',\n",
    "             xytext = (+30, -30), textcoords = 'offset points',\n",
    "             fontsize = 16, arrowprops = dict(arrowstyle = '->', connectionstyle = 'arc3, rad = .2'))\n",
    "\n",
    "# 绘制注解二\n",
    "plt.text(-3, 3, r'$Test\\ text. \\mu \\sigma_i, \\alpha_i$', fontdict = {'size': 16, 'color': 'red'});"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据个数\n",
    "n = 1024\n",
    "\n",
    "# 均值为0, 方差为1的随机数\n",
    "xs = np.random.normal(0, 1, n)\n",
    "ys = np.random.normal(0, 1, n)\n",
    "\n",
    "# 计算颜色值\n",
    "color = np.arctan2(ys, xs)\n",
    "# 绘制散点图\n",
    "sca = plt.scatter(xs, ys, s = 75, c = color, alpha = 0.5)\n",
    "# 设置坐标轴范围\n",
    "plt.xlim((-1.5, 1.5))\n",
    "plt.ylim((-1.5, 1.5))\n",
    "\n",
    "# 不显示坐标轴的值\n",
    "plt.xticks(())\n",
    "plt.yticks(());"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制柱状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据数目\n",
    "n = 10\n",
    "xs = np.arange(n)\n",
    "# 生成数据, 均匀分布(0.5, 1.0)之间\n",
    "ys1 = (1 - xs / float(n)) * np.random.uniform(0.5, 1.0, n)\n",
    "ys2 = (1 - xs / float(n)) * np.random.uniform(0.5, 1.0, n)\n",
    "\n",
    "# 绘制柱状图, 向上\n",
    "plt.bar(xs, ys1, facecolor = 'blue', edgecolor = 'white')\n",
    "# 绘制柱状图, 向下\n",
    "plt.bar(xs, -ys2, facecolor = 'green', edgecolor = 'white')\n",
    "\n",
    "# 在柱状图上显示具体数值, ha水平对齐, va垂直对齐\n",
    "for x, y in zip(xs, ys1):\n",
    "    plt.text(x + 0.05, y + 0.1, '%.2f' % y, ha = 'center', va = 'bottom')\n",
    "\n",
    "for x, y in zip(xs, ys2):\n",
    "    plt.text(x + 0.05, -y - 0.1, '%.2f' % y, ha = 'center', va = 'bottom')\n",
    "\n",
    "# 设置坐标轴范围\n",
    "plt.xlim(-1, n)\n",
    "plt.ylim(-1.5, 1.5)\n",
    "# 去除坐标轴\n",
    "plt.xticks(())\n",
    "plt.yticks(());"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制登高线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 定义等高线高度函数\n",
    "def f(x, y):\n",
    "    return (1 - x / 2 + x ** 5 + y ** 3) * np.exp(- x ** 2 - y ** 2)\n",
    "\n",
    "# 数据数目\n",
    "n = 256\n",
    "# 定义x, y\n",
    "xs = np.linspace(-3, 3, n)\n",
    "ys = np.linspace(-3, 3, n)\n",
    "\n",
    "# 生成网格数据\n",
    "X, Y = np.meshgrid(xs, ys)\n",
    "\n",
    "# 填充等高线的颜色, 8是等高线分为几部分\n",
    "plt.contourf(X, Y, f(X, Y), 8, alpha = 0.75, cmap = plt.cm.hot)\n",
    "# 绘制等高线\n",
    "C = plt.contour(X, Y, f(X, Y), 8, colors = 'black')\n",
    "# 绘制等高线数据\n",
    "plt.clabel(C, inline = True, fontsize = 10)\n",
    "\n",
    "# 去除坐标轴\n",
    "plt.xticks(())\n",
    "plt.yticks(());"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制多图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### subplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制第一个图\n",
    "plt.subplot(2, 2, 1)\n",
    "plt.gca().set_xlabel(id(plt.gca()))\n",
    "# 绘制第四个图\n",
    "plt.subplot(2, 2, 4)\n",
    "plt.gca().set_xlabel(id(plt.gca()))\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(10, 4))\n",
    "axes[0,1].plot([0, 1], [0, 1], 'go--') # 缩写方式\n",
    "axes[1,0].plot([0, 1], [0, 1], color='k', marker='o', linestyle='--'); # 完整写法"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### subplot2grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# figure分成3行3列, 取得第一个子图的句柄, 第一个子图跨度为1行3列, 起点是表格(0, 0)\n",
    "ax1 = plt.subplot2grid((3, 3), (0, 0), colspan = 3, rowspan = 1)\n",
    "ax1.plot([0, 1], [0, 1])\n",
    "ax1.set_title('Test')\n",
    "\n",
    "# figure分成3行3列, 取得第二个子图的句柄, 第二个子图跨度为1行3列, 起点是表格(1, 0)\n",
    "ax2 = plt.subplot2grid((3, 3), (1, 0), colspan = 2, rowspan = 1)\n",
    "ax2.plot([0, 1], [0, 1])\n",
    "\n",
    "# figure分成3行3列, 取得第三个子图的句柄, 第三个子图跨度为1行1列, 起点是表格(1, 2)\n",
    "ax3 = plt.subplot2grid((3, 3), (1, 2), colspan = 1, rowspan = 1)\n",
    "ax3.plot([0, 1], [0, 1])\n",
    "\n",
    "# figure分成3行3列, 取得第四个子图的句柄, 第四个子图跨度为1行3列, 起点是表格(2, 0)\n",
    "ax4 = plt.subplot2grid((3, 3), (2, 0), colspan = 3, rowspan = 1)\n",
    "ax4.plot([0, 1], [0, 1]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 嵌套"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.0 4.0\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "\n",
    "# 定义数据\n",
    "x = [1, 2, 3, 4, 5, 6, 7]\n",
    "y = [1, 3, 4, 2, 5, 8, 6]\n",
    "\n",
    "# figure的百分比, 从figure 10%的位置开始绘制, 宽高是figure的80%\n",
    "left, bottom, width, height = 0.1, 0.1, 0.8, 0.8\n",
    "# 获得绘制的句柄\n",
    "ax1 = fig.add_axes([left, bottom, width, height])\n",
    "# 绘制点(x,y)\n",
    "ax1.plot(x, y, 'b')\n",
    "ax1.set_xlabel('x')\n",
    "ax1.set_ylabel('y')\n",
    "ax1.set_title('test')\n",
    "\n",
    "print(fig.get_figwidth(), fig.get_figheight())\n",
    "\n",
    "# 嵌套方法一\n",
    "left, bottom, width, height = 0.2, 0.6, 0.25, 0.25\n",
    "ax2 = fig.add_axes([left, bottom, width, height])\n",
    "ax2.plot(x, y, 'g')\n",
    "ax2.set_xlabel('x')\n",
    "ax2.set_ylabel('y')\n",
    "ax2.set_title('part1')\n",
    "\n",
    "# 嵌套方法二\n",
    "plt.axes([bottom, left, width, height])\n",
    "plt.plot(x, y, 'y')\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('y')\n",
    "plt.title('part2');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 其他"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 交互模式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 打开交互模式\n",
    "plt.ion()  \n",
    "# do some thing\n",
    "# 显示前关掉交互模式\n",
    "plt.ioff()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 清空坐标里的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f7d4154ae80>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.gca()\n",
    "ax.set_xlabel('MyX')\n",
    "ax.set_ylabel('MyY')\n",
    "ax.scatter([1,2,3], [2,3,4], c='k', s=40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<matplotlib.collections.PathCollection object at 0x7f7d4154ae80>\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 清除ax里面的数据(上图的黑色点), 保留对该ax坐标的设置(如: label)\n",
    "for item in ax.collections:\n",
    "    print(item)\n",
    "    item.remove()\n",
    "del ax.collections[:]\n",
    "ax.scatter([2], [3], c='b', s=80)\n",
    "ax.get_figure()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
